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OECD Statistics Working Papers

The OECD Statistics Working Paper Series - managed by the OECD Statistics and Data Directorate – is designed to make available in a timely fashion and to a wider readership selected studies prepared by staff in the Secretariat or by outside consultants working on OECD projects. The papers included are of a technical, methodological or statistical policy nature and relate to statistical work relevant to the organisation. The Working Papers are generally available only in their original language - English or French - with a summary in the other.

Joint Working Paper

Measuring Well-being and Progress in Countries at Different Stages of Development: Towards a More Universal Conceptual Framework (with OECD Development Centre)

Measuring and Assessing Job Quality: The OECD Job Quality Framework (with OECD Directorate for Employment, Labour and Social Affairs)

Forecasting GDP during and after the Great Recession: A contest between small-scale bridge and large-scale dynamic factor models (with OECD Economics Directorate)

Decoupling of wages from productivity: Macro-level facts (with OECD Economics Directorate)

Which policies increase value for money in health care? (with OECD Directorate for Employment, Labour and Social Affairs)

Compiling mineral and energy resource accounts according to the System of Environmental-Economic Accounting (SEEA) 2012 (with OECD Environment Directorate)

English

Measuring Educational Inequalities in Mortality Statistics

All OECD countries are faced with substantial inequalities in health status between socioeconomic groups within their populations. One aspect of these inequalities for which data are routinely available in many countries is inequalities in mortality by level of education: people with a lower level of education typically have considerably higher death rates and lower life expectancy than people with a higher level of education. The OECD recently started a project to generate measures of the distributions of ages at death by educational level, gender and cause of death for as many countries as possible. This working paper aims to highlight the most important methodological issues to be faced when trying to create valid statistics on mortality by level of education, and to highlight how different methodologies may affect results and comparisons. Topics covered include study designs (e.g. use of cross-sectional census-unlinked versus longitudinal census-linked data), data harmonization issues (e.g. use of a common educational classification scheme), and data analysis issues (e.g. choice of a summary measure of inequalities in mortality). The paper ends with a number of recommendations for data analysts.

English

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